Signal averaging

Users familiar with EEG/ERP methods will know this “ensemble averaging” approach to event related response analyis. It overcomes 'noise' in the data by averaging physiological responses to repeated presentations of specific stimuli. Also for peripheral physiology one is often interested in high-temporal resolution averages of response variables like heart rate, electrodermal activity or EMG and display and analyze the grand averages across different stimulus conditions and subject groups. This can be an exploratory step before choosing time windows for averaged parameter extraction. However, other than for EEG, peripheral measures need extra preprocessing and special precautions (zero responses, negative trends, strong habituation, etc.). ANSLAB allows for specific preprocessing and advanced types of parameter averaging. In addition, it allows for statistical parametric response analysis using mixed effect models. Please note that the use of this advanced and powerful module typically requires some prior experience with signal averaging approaches.

signalaveraging.txt · Last modified: 2014/12/17 14:40 by admin
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